An ethnography is a qualitative research method that involves studying a culture or group of people through participant observation, interviews, and detailed fieldwork. It focuses on understanding the social and cultural aspects of a particular group, rather than collecting numerical data for statistical analysis.
The procedure of social research typically involves identifying a research question, conducting a literature review, developing a research design, collecting data (quantitative or qualitative), analyzing the data, interpreting the results, and communicating findings through a research report or publication. It also involves ethical considerations such as obtaining informed consent from participants and maintaining confidentiality.
Advantages: Provides insights into different cultures and societies, helps understand human behavior and social interactions, enables cross-cultural comparisons. Disadvantages: Can be subjective and biased, relies on qualitative data which may be difficult to generalize, may raise ethical concerns especially when studying vulnerable populations.
The opposite of ethnography could be considered as "quantitative research" or "experimentation." Ethnography involves qualitative methods focused on describing and interpreting cultures, while quantitative research uses numerical data and statistical analysis to draw conclusions. Experimentation involves controlled studies to test hypotheses and establish causation, which differs from the observational and descriptive nature of ethnography.
Pros of fieldwork in anthropology include gaining firsthand experience and understanding of culture, establishing close relationships with the community studied, and collecting rich qualitative data. Cons can include challenges with access and permission, possible biases in data collection, and potential ethical considerations in working with communities.
quantitative and qualitative
Data that can't be expressed in numbers is called qualitative data, which includes descriptions and observations. Color, texture, emotions, and shape are examples of qualitative data.
Quantitative data is measurable and numerical in nature. In contrast, qualitative data is any data that is not numerical and cannot be measured, only observed. Examples of quantitative data include age, height, year, and population. Examples of qualitative data include color, gender, country, and city.
Examples of qualitative data might be that thunder follows more quickly after lightening as the storm gets closer. It is an information that is descriptive but lacks hard numbers.
Qualitative means what is it while quantative means how much is there. Some examples of qualitative data might be whether a solution is of copper or iron or if a compound is formed with nitrate or carbonate. Quantative data could be the concentration of a solution or the mass present in a sample.
Qualitative and quantitative data are both 2 important types of data. Qualitative data is data based on observation and description. An easy way to remember this, Qualitative ---> QUALity. Examples of qualitative data are when you record colors, smells, textures, etc... Quantitative data is based on numerical values. An easy way to remember this, Quantitative ---> QUANTity. An example of quantitative data are any type of numerical values.
Qualitative analysis is when you try to find out which substances are present in the thing you are analysing. So I think qualitative data of something like water would be Hydrogen and Oxygen.
Qualitative data is information that can not be measured, such as the colour of your eyes. Qualitative data descriobes
5 examples of qualitative
Qualitative data is information that is not in numerical form.
qualitative data
Qualitative properties are properties that are observed and can generally not be measured with a numerical result. They are contrasted to quantitative properties which have numerical characteristics.